Elsevier

Cortex

Volume 59, October 2014, Pages 74-83
Cortex

Research report
Decoding letter position in word reading

https://doi.org/10.1016/j.cortex.2014.07.002Get rights and content

Abstract

A fundamental computation underlying visual word recognition is the ability to transform a set of letters into a visual word form. Neuropsychological data suggest that letter position within a word may be independently affected by brain damage, resulting in a dissociable subtype of peripheral dyslexia. Here we used functional magnetic resonance imaging and supervised machine learning techniques to classify letter position based on activation patterns evoked during reading Hebrew words. Across the entire brain, activity patterns in the left intraparietal sulcus provided the best classification accuracy (80%) with respect to letter position. Importantly, the same set of voxels that showed highest classification performance of letter position using one letter-of-interest also showed highest classification performance using a different letter-of-interest. A functional connectivity analysis revealed that activity in these voxels co-varied with activity in the Visual Word Form Area, confirming cross-talk between these regions during covert reading. The results converge with reports of patients with acquired letter position dyslexia, who suffer from left occipito-parietal lesions. These findings provide direct and novel evidence for the role of left IPS within the reading network in processing relative letter positions.

Introduction

The ability of the human visual system to conduct efficient and successful orthographic analysis of written words is a fundamental step in reading. Despite comprehensive research, the functional and structural properties of the neural mechanisms underlying successful visual word recognition are not yet fully elucidated. During the last two decades, advances in neuroimaging measurements provided consistent evidence that visual word processing relies on both ventral and dorsal visual networks. Within the ventral pathway, a series of regions including the Visual Word Form Area (VWFA, located in the posterior occipitotemporal sulcus), were found to respond robustly and consistently to written word stimuli (Cohen et al., 2002, Price and Devlin, 2011, Wandell, 2011). Within the dorsal pathway, regions in the left and right posterior intraparietal sulcus (IPS) and the adjacent temporoparietal junction were found to be engaged during reading tasks (Cohen et al., 2008, Gabrieli, 2009, Reilhac et al., 2012).

Computational modeling (Gomez et al., 2008, McClelland and Rumelhart, 1981), cognitive and neuropsychological studies (Coltheart, 1981, Ellis et al., 1987, Friedmann and Gvion, 2001, Rastle, 2007) argue that encoding of letter position within words may be selectively impaired. Other computational models, supported by neuropsychological studies showing non selective letter-order deficits, suggest that orthographic analysis units do not contain precise information about letter position (Grainger and Van Heuven, 2003, Katz and Sevush, 1989, Whitney, 2001).

Several studies have established a causal role for the VWFA in orthographic processing (Cohen et al., 2003, Dehaene, 2009, Gaillard et al., 2006, Rauschecker et al., 2011, Rauschecker et al., 2012). The VWFA is argued to respond to words as holistic constructs (Glezer, Jiang, & Riesenhuber, 2009) suggesting that encoding of letter position might be performed elsewhere. On the other hand, the VWFA could be indirectly involved in encoding letter positions, as part of a ventral cascade of areas that are sensitive to larger and larger letter combinations (Dehaene et al., 2005, Thesen et al., 2012, Vinckier et al., 2007). We hypothesized that dorsal parietal areas are natural candidates for encoding letter positions. This hypothesis builds on their well-documented involvement in spatial attention (Shafritz et al., 2002, Xu, 2007), as well as their known involvement in visual word processing, particularly of spatially distorted words (Cohen et al., 2008, Vinckier et al., 2006). Further support for this hypothesis is provided by evidence from two documented patients who sustained left occipital-parietal lesions, displaying acquired letter position dyslexia (LPD) – a selective impairment in encoding letter positions (Friedmann & Gvion, 2001).

Here, we used fMRI measurements and multi-voxel pattern analysis (MVPA) techniques in a searchlight strategy to examine which cortical regions provide the most information about the position of a letter-of-interest within visually presented words. Using this data driven approach across the entire brain, we show that the left intraparietal sulcus (L-IPS) provides the best classification with respect to letter position, regardless of letter identity. These findings provide clear support for the hypothesis that letter position encoding in word reading can be supported by activity patterns of neuronal populations in the left parietal cortex.

Section snippets

Subjects

Twelve healthy subjects (4 females, mean age: 27.8, range: 20–34 years) participated in this study after providing informed consent. Subjects were native Hebrew speakers, with normal or corrected-to-normal vision and no reported cognitive deficits or structural brain abnormality. The protocol was approved by the Ethics Committee of Tel-Aviv University and the Helsinki committee at the Tel-Aviv Sourasky Medical Center. Subjects were compensated for their time.

Stimuli and task

Subjects covertly read four-letter

Results

Subjects responded to the colored letters in catch trials with 94% accuracy showing they were attentive to the task.

We employed a whole brain searchlight strategy using MVPA classifiers to search for activity patterns of multiple voxels that significantly classify the position of a letter-of-interest within words. For each letter-of-interest, we constructed a linear classifier that was provided with labeled stimuli and corresponding response patterns according to the position of the

Discussion

The current study investigated cortical sensitivity to letter position within Hebrew written words using advanced whole brain classification methods. This strategy allowed us to identify the underlying relationship between patterns of brain activity across several voxels, without making any prior assumption regarding anatomical ROIs. We found that activation patterns in the left IPS carry information that is sufficient to discriminate between two letter positions of two different Hebrew

Acknowledgments

This study was supported by the Israeli Center of Research Excellence (I-CORE) in Cognition (I-CORE Program 51/11), Israel Science Foundation (grants No. 1771/13 and 2043/13), Human Frontiers Science Project (HFSP) Career Development Award (CDA00078/2011-C) to R.M., US-Israel Binational Science Foundation (BSF award #2011314 to M.B.-S.) and Sagol School of Neuroscience fellowship to O.O. The authors thank Ariel Krasovsky for providing the initial code for the searchlight algorithm.

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